Operational inspection of concrete bridges is an important means of ensuring safe and reliable operation, and thus eliminating partial operational problems or even catastrophic accidents. It is significantly used in planning the maintenance and repair of bridges during their life cycle. Its role is also important in detecting sudden or unpredictable loads, such as earthquakes, strong winds or ship collisions. It allows to set the current limits within which the bridge can be operated. Operational control of bridges is a global topic and represents a multidisciplinary area of research in which it is necessary to integrate a number of methods and approaches to determine the current state of bridges and predict future behavior to ensure their long-term operational reliability. The project will create an operational control system based on condition monitoring and numerical simulation of the structure, both in real, respectively. virtual time and space. By monitoring the condition of the bridge, up-to-date information on the load and behavior of the structure is obtained, which is processed and interpreted accordingly. The numerical simulation will then focus on the prediction of the bridge behavior in selected time nodes, including the prediction of damage and degradation and analysis of ultimate load carrying capacity and reliability. The basis of the operational control system for concrete bridges will be to ensure the data flow between monitoring and simulation.

Keywords
Bridges; concrete; reliability; health monitoring; simulation

TM04000012

English

Novák Drahomír, prof. Ing., DrSc. - principal person responsible

Institute of Structural Mechanics
- responsible department (23.6.2022 - not assigned)
Institute of Structural Mechanics
- co-beneficiary (23.6.2022 - not assigned)

NOVÁK, L.; NOVÁK, D.; CAO, M.; PUKL, R. Semi-probabilistic assessment of concrete bridge exploiting additional data from experiments and numerical analysis. In Life-Cycle of Structures and Infrastructure Systems. CRC Press/Balkema, 2023. p. 2697-2704. ISBN: 9781003323020.
Detail

VEČEŘE, J.; NOVÁK, D.; KOTYNIA, R.; SZCZECH, D.; KASZUBSKA, M. MODELLING OF SHEAR STRENGTH OF CONCRETE BEAMS WITH STEEL AND GFRP REINFORCEMENT. Sborník vědeckých prací Vysoké školy báňské – Technické univerzity Ostrava, 2024, vol. 24, no. 1, p. 1-6. ISSN: 1213-1962.
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NOVÁK, L.; GAKIS, A.; KŘÍŽEK, M.; NOVÁK, D.; SPYRIDIS, P. Uncertainty Quantification of Soil-Structure Interaction in Tunnel Linings by Polynomial Chaos Expansion. In 20th International Probabilistic Workshop. Springer Science and Business Media Deutschland GmbH, 2024. p. 512-519. ISBN: 9783031602702.
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NOVÁK, L.: BayesianUQ; BayesianUQ. Ústav stavební mechaniky, Fakulta stavební, Vysoké učení technické v Brně. URL: https://www.fce.vutbr.cz/STM/novak.l/BayesUQ/BayesUQ.html. (software)
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ŠPLÍCHAL, B., LEHKÝ, D., LAMPEROVÁ, K. Damage detection of riveted truss bridge using ANN-aided AMS optimization method. In Bridge Maintenance, Safety, Management, Digitalization and Sustainability. 1st Edition. London: CRC Press, 2024. p. 2279-2286. ISBN: 9781003483755.
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NOVÁK, D. FReET: Software for Uncertainties Propagation. 2023. p. 150-1 (150-3 p.)
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FU, R.; CAO, M.; NOVÁK, D.; QIAN, X.; ALKAYEM, N. Extended efficient convolutional neural network for concrete crack detection with illustrated merits. AUTOMATION IN CONSTRUCTION, 2023, vol. 156, no. 105098, ISSN: 0926-5805.
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KŘÍŽEK, M.; NOVÁK, L. Uncertainty Quantification of Existing Bridge using Polynomial Chaos Expansion. Transactions of the VŠB – Technical University of Ostrava, Civil Engineering Series, 2023, vol. 23, no. 2, p. 13-19. ISSN: 1804-4824.
Detail

NOVÁK, L.; SHIELDS, M.; SADÍLEK, V.; VOŘECHOVSKÝ, M. LOCALIZED APPROXIMATIONS BY POLYNOMIAL CHAOS EXPANSIONS FOR HIGHLY NON-LINEAR FUNCTIONS. In UNCECOMP 2023 Proceedings. Athens, Greece: National Technical University of Athens, 2023. p. 158-164. ISBN: 9786185827021.
Detail

SPYRIDIS, P.; NOVÁK, L.; NOVÁK, D.; BERGMEISTER, K. Advanced semi-probabilistic methods for the design and assessment of concrete tunnel linings. In Expanding Underground. Knowledge and Passion to Make a Positive Impact on the World. USA: CRC Press/Balkema, 2023. p. 976-984. ISBN: 9781003348030.
Detail

LEHKÝ, D., ŠPLÍCHAL, B., LAMPEROVÁ, K., SLOWIK, O. Inverse analysis and optimization-based model updating for structural damage detection. In EUROSTRUCT 2023 - European Association on Quality Control of Bridges and Structures: Digital Transformation in Sustainability. ce/papers. Berlin, Germany: Ernst & Sohn, 2023. p. 1228-1233. ISSN: 2509-7075.
Detail

ŠPLÍCHAL, B.; LEHKÝ, D. Damage Identification Using Artificial Neural Network-Aided Aimed Multilevel Sampling Method. Transactions of the VŠB – Technical University of Ostrava, Civil Engineering Series, 2023, vol. 23, no. 2, p. 61-66. ISSN: 1804-4824.
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NOVÁK, L.; NOVÁK, D.: GramCharlier; GramCharlier. Ústav stavební mechaniky, Fakulta stavební, Vysoké učení technické v Brně. URL: https://www.fce.vutbr.cz/stm/novak.l/GCexp/GCexp.html. (software)
Detail

Responsibility: Novák Drahomír, prof. Ing., DrSc.